Introduction
We begin the justification for the use of RFSs by re-evaluating the basic issues of feature representation, and considering the fundamental mathematical relationship between environmental feature representations, and robot motion. We further the justification for the use of RFSs in FBRM and SLAM by considering an issue of fundamental mathematical importance in any estimation problem - estimation error.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Mullane, J., Vo, BN., Adams, M., Vo, BT. (2011). Why Random Finite Sets?. In: Random Finite Sets for Robot Mapping and SLAM. Springer Tracts in Advanced Robotics, vol 72. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21390-8_2
Download citation
DOI: https://doi.org/10.1007/978-3-642-21390-8_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21389-2
Online ISBN: 978-3-642-21390-8
eBook Packages: EngineeringEngineering (R0)